| SVbound {SelectionBias} | R Documentation |
Smith and VanderWeele bound
Description
SVbound() returns a list with the SV bound. All sensitivity parameters for
the population of interest must be set to numbers, and the rest can be left
as NULL. The sensitivity parameters can be inserted directly or as output
from sensitivityparametersM(). If the causal estimand is expected to be
larger than the observational estimand, the recoding of the treatment has to
be done manually.
Usage
SVbound(
whichEst,
pY1_T1_S1,
pY1_T0_S1,
RR_UY_T1 = NULL,
RR_UY_T0 = NULL,
RR_SU_T1 = NULL,
RR_SU_T0 = NULL,
RR_UY_S1 = NULL,
RR_TU_S1 = NULL
)
Arguments
whichEst |
Input string. Defining the causal estimand of interest. Available options are as follows. (1) Relative risk in the total population: "RR_tot", (2) Risk difference in the total population: "RD_tot", (3) Relative risk in the subpopulation: "RR_sub", (4) Risk difference in the subpopulation: "RD_sub". |
pY1_T1_S1 |
Input value. The probability P(Y=1|T=1,I_S=1). Must be between 0 and 1. |
pY1_T0_S1 |
Input value. The probability P(Y=1|T=0,I_S=1). Must be between 0 and 1. |
RR_UY_T1 |
Input value. The sensitivity parameter RR_UY|T=1. Must be greater than or equal to 1. Used in the bounds for the total population. |
RR_UY_T0 |
Input value. The sensitivity parameter RR_UY|T=0. Must be greater than or equal to 1. Used in the bounds for the total population. |
RR_SU_T1 |
Input value. The sensitivity parameter RR_SU|T=1. Must be greater than or equal to 1. Used in the bounds for the total population. |
RR_SU_T0 |
Input value. The sensitivity parameter RR_SU|T=0. Must be greater than or equal to 1. Used in the bounds for the total population. |
RR_UY_S1 |
Input value. The sensitivity parameter RR_UY|S=1. Must be greater than or equal to 1. Used in the bounds for the subpopulation. |
RR_TU_S1 |
Input value. The sensitivity parameter RR_TU|S=1. Must be greater than or equal to 1. Used in the bounds for the subpopulation. |
Value
A list containing the Smith and VanderWeele bound.
References
Smith, Louisa H., and Tyler J. VanderWeele. "Bounding bias due to selection." Epidemiology (Cambridge, Mass.) 30.4 (2019): 509.
Zetterstrom, Stina and Waernbaum, Ingeborg. "Selection bias and multiple inclusion criteria in observational studies" Epidemiologic Methods 11, no. 1 (2022): 20220108.
Examples
# Example for relative risk in the total population.
SVbound(whichEst = "RR_tot", pY1_T1_S1 = 0.05, pY1_T0_S1 = 0.01,
RR_UY_T1 = 2, RR_UY_T0 = 2, RR_SU_T1 = 1.7, RR_SU_T0 = 1.5)
# Example for risk difference in the total population.
SVbound(whichEst = "RD_tot", pY1_T1_S1 = 0.05, pY1_T0_S1 = 0.01,
RR_UY_T1 = 2, RR_UY_T0 = 2, RR_SU_T1 = 1.7, RR_SU_T0 = 1.5)
# Example for relative risk in the subpopulation.
SVbound(whichEst = "RR_sub", pY1_T1_S1 = 0.05, pY1_T0_S1 = 0.01,
RR_UY_S1 = 2.71, RR_TU_S1 = 2.33)
# Example for risk difference in the subpopulation.
SVbound(whichEst = "RD_sub", pY1_T1_S1 = 0.05, pY1_T0_S1 = 0.01,
RR_UY_S1 = 2.71, RR_TU_S1 = 2.33)